Claude 3.7 Sonnet vs LongCat-Flash-Chat
Both models are evenly matched across the benchmarks. LongCat-Flash-Chat is 11.4x cheaper per token.
Anthropic · Meituan · Updated for 2026
Which is better?
Claude 3.7 Sonnet outperforms in 3 benchmarks (GPQA, IFEval, SWE-Bench Verified), while LongCat-Flash-Chat is better at 3 benchmarks (AIME 2025, MATH-500, Terminal-Bench). Both models are evenly matched across the benchmarks.
On price, LongCat-Flash-Chat is roughly 11.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.7 Sonnet also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Claude 3.7 Sonnet
- you process long inputs — it offers a 200,000 token context window
Choose LongCat-Flash-Chat
- cost matters — it's about 11.4x cheaper per token
- you want the most recent training data — it shipped Aug 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.7 Sonnet outperforms in 3 benchmarks (GPQA, IFEval, SWE-Bench Verified), while LongCat-Flash-Chat is better at 3 benchmarks (AIME 2025, MATH-500, Terminal-Bench).
Both models are evenly matched across the benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 10.0x more expensive than LongCat-Flash-Chat ($0.30/1M tokens).
For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 12.5x more expensive than LongCat-Flash-Chat ($1.20/1M tokens).
In conclusion, Claude 3.7 Sonnet is more expensive than LongCat-Flash-Chat.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.7 Sonnet accepts 200,000 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Claude 3.7 Sonnet supports multimodal inputs, whereas LongCat-Flash-Chat does not.
Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.7 Sonnet
LongCat-Flash-Chat
License
Usage and distribution terms
Claude 3.7 Sonnet is licensed under a proprietary license, while LongCat-Flash-Chat uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude 3.7 Sonnet was released on 2025-02-24, while LongCat-Flash-Chat was released on 2025-08-29.
LongCat-Flash-Chat is 6 months newer than Claude 3.7 Sonnet.
Feb 24, 2025
1.5 years ago
Aug 29, 2025
12 months ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. LongCat-Flash-Chat is available from Meituan.
Claude 3.7 Sonnet
LongCat-Flash-Chat
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.7 Sonnet and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.7 Sonnet vs LongCat-Flash-Chat.